A novel meta database for relationships between bioinformatics databases
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
| Hi-index | 3.84 |
Summary: Metric information on similarities and distances in fold space is essential for quantitative work in structural bioinformatics and structural biology. Here we derive a suitable metric for protein structures from the fundamental axioms of similarity. Derivation of the metric also clarifies the relationship between the interrelated concepts of distance and similarity. Contact: sippl@came.sbg.ac.at